Triple
T23012924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andretti Green Racing |
E572954
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | 7-Eleven |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 7-Eleven | Statement: [Andretti Green Racing, sponsor, 7-Eleven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 7-Eleven Context triple: [Andretti Green Racing, sponsor, 7-Eleven]
-
A.
7-Eleven
chosen
7-Eleven is a global chain of convenience stores known for its 24-hour service, Slurpee drinks, and widespread presence in urban and suburban areas.
-
B.
2Eleven
2Eleven is an American rapper known for his work in the West Coast hip-hop scene and collaborations with artists from the CTE World label.
-
C.
Wendy's
Wendy's is a major American fast-food restaurant chain best known for its square hamburgers, Frosty desserts, and distinctive redheaded girl logo.
-
D.
McDonald’s
McDonald’s is a global fast-food restaurant chain best known for its hamburgers, fries, and iconic Golden Arches branding.
-
E.
Sonic Drive-In
Sonic Drive-In is an American fast-food restaurant chain known for its drive-in service model, extensive drink menu, and classic burgers and hot dogs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e300008190bb12c6388a8b3280 |
completed | April 29, 2026, 4:06 a.m. |
Created at: April 17, 2026, 3:51 p.m.